A simple approach for bubble modelling from multiphase fluid simulation

Bo Ren; Yuntao Jiang; Chenfeng Li; Ming C. Lin

doi:10.1007/s41095-015-0020-6

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Research Article | Open Access

A simple approach for bubble modelling from multiphase fluid simulation

Bo Ren^¹(

), Yuntao Jiang^², Chenfeng Li^³, Ming C. Lin^⁴

1 CCCE&CS, Nankai University, Tianjin, China.

2 Department of Computer Science and Technology, Tsinghua University, Beijing, China.

3 College of Engineering, Swansea University, Swansea, UK.

4 Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, USA.

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Abstract

Abstract This article presents a novel and flexible bubble modelling technique for multi-fluid simulations using a volume fraction representation. By combining the volume fraction data obtained from a primary multi-fluid simulation with simple and efficient secondary bubble simulation, a range of real-world bubble phenomena are captured with a high degree of physical realism, including large bubble deformation, sub-cell bubble motion, bubble stacking over the liquid surface, bubble volume change, dissolving of bubbles, etc. Without any change in the primary multi-fluid simulator, our bubble modelling approach is applicable to any multi-fluid simulator based on the volume fraction representation.

Keywords

bubble volume fraction smoothed particle hydrodynamics fluid simulation

Electronic Supplementary Material

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41095_2015_20_MOESM1_ESM.avi

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Computational Visual Media

Volume 1 Issue 2,
June 2015

Pages 171-181

DOI: 10.1007/s41095-015-0020-6

Cite this article:

Ren B, Jiang Y, Li C, et al. A simple approach for bubble modelling from multiphase fluid simulation. Computational Visual Media, 2015, 1(2): 171-181. https://doi.org/10.1007/s41095-015-0020-6

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Revised: 18 August 2015

Accepted: 29 August 2015

Published: 21 October 2015

This article is published with open access at Springerlink.com

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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